Timothy Pace Email & Phone Number

Seattle, Wa, Us

Developed machine learning and data science solutions a Data Scientist II for World Wide Grocery Stores Data & Analytics:• Developed a production gradient boosting model predicting out-of-stock grocery items for Fresh.• Applied causal inference techniques, such Downstream Impact analysis, to assess and prioritize the effect of defects on delivery and pickup services for Whole Foods and Fresh.

Seattle, Wa, Us

Developed machine learning and data science solutions as a Data Scientist II for the Business Insights team at Amazon Style:• Customized and fine-tuned a BERT language model in PyTorch for NLP sentiment analysis on customer reviews, anecdotes, and survey data.• Engineered a deep learning LSTM multivariate time series model using Keras/TensorFlow for store associate task forecasting and labor demand prediction.• Conducted customer segmentation by combining PCA and K-means clustering on customer behaviors and attributes, facilitating the creation of marketing personas for Style customers.• Constructed a multitouch attribution model for a data-driven understanding of the customer journey.• Developed a LightFM hybrid recommender system employing collaborative and content-based filtering to enhance the clothing selection process for category managers using machine learning.

Kirkland, Washington, Us

Senior Consultant for the Data Science, Data-Driven Insights service line:Microsoft:• Developed multitouch attribution deep learning models as classifier recommender systems for B2B marketing sales plays of Microsoft product offerings.

Bangalore, Karnataka, In

Senior Consultant for the Data Science & Analytics consulting practice:Microsoft:• Achieved a 15% reduction in O365 B2B incident mitigation time (measured in days) by implementing NLP-based auto triaging of tickets, enhancing adherence to SLAs through automatic detection of impacted services and team assignment.• Engineered multi-class classification recommender system ML pipelines (Keras/TensorFlow) within Databricks for O365 customer text feedback, streamlining incident management with production models.• Developed scalable Python ML APIs for real-time predictions on hundreds of thousands of O365 incidents.• Created visualizations of model predictions in Power BI to generate actionable data-driven insights.Apple:• Applied machine learning engineering, deep learning, and time series forecasting for the Splunk security team.Cisco:• Led strategic development and enhancements to NLP-based deep learning and distributed gradient boosting multiclass classification ML models. These models enabled real-time root-cause analysis of B2B RMAs for networking hardware, software, and telecommunications equipment.• Collaborated with engineering, supply chain-manufacturing, and product management teams to leverage data for business insights and develop ML solutions.American Water:• Engineered LightGBM models predicting employee attrition and retirement within AWS SageMaker, with visualization of predictions using QuickSight.PwC:• Constructed data science workflows in KNIME for accounting purposes.Providence:• Strategically led the development of ETLs and Tableau dashboards utilized by C-suite executives.AT&T:• Prototyped a matrix factorization-based collaborative filtering system for vendor contract recommendations.

Burbank, Ca, Us

Designed collaborative filtering recommender systems that leveraged customer preferences and behavior across diverse channels within the Information Advantage unit of Attractions Technology.

Seattle, Wa, Us

Designed a machine learning blueprint for a venture capital-backed startup, streamlining the automation of customer tax filing processes.

• Designed and implemented a chatbot to enhance security operations for the Global Security team.• Engineered predictive maintenance models for security equipment across global facilities.

Seattle, Wa, Us

• Employed advanced statistical methods, models, and software packages to gather, analyze, visualize, and present research findings in the field of behavioral health.• Contributed to the development of personalized web health interventions, which were subsequently featured in medical journals and conferences as part of the Psychiatry & Behavioral Sciences Department.

Seattle, Wa, Us

Seattle, Wa, Us

Master Of Science - Ms, Information Management (Data Science)

Bachelor'S Degree